Journal
INTERNATIONAL JOURNAL OF PEDIATRIC OTORHINOLARYNGOLOGY
Volume 77, Issue 8, Pages 1244-1247Publisher
ELSEVIER IRELAND LTD
DOI: 10.1016/j.ijporl.2013.04.025
Keywords
Breath analysis; Electronic nose; Exhaled volatile; Inflammation; Polysomnography; Sleep-disordered breathing
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Funding
- Hungarian Scientific Research Fund [OTKA 68808]
- Sanofi-Aventis graduate scholarship
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Objectives: Obstructive sleep apnoea syndrome (OSAS) is a common disorder in children, which is associated with enhanced inflammatory status. Inflammation-associated changes could be monitored by the assessment of exhaled biomarker profile. This study aimed to compare the exhaled biomarker profile in children with OSAS and habitual snorers. Methods: Eighteen children with OSAS (8 +/- 2 years, mean +/- SD) and ten non-OSAS subjects with habitual snoring (9 +/- 2 years) were recruited. Exhaled breath was collected from the lower airways, processed using an electronic nose (E-nose) and analyzed off-line using principal component analysis, followed by discrimination analysis and logistic regression to build a receiver operating characteristic (ROC) curve. Results: Exhaled biomarker pattern of OSAS patients was discriminated from that of control subjects (p = 0.03, cross-validation accuracy: 64%), ROC curve analysis (area: 0.83) showed 78% sensitivity and 70% specificity. Conclusions: The altered exhaled biomarker pattern in OSAS might reflect accelerated airway and/or systemic inflammation in diseased state. Breath pattern analysis by an E-nose can serve as a new tool to monitor inflammation in children with OSAS. (c) 2013 Elsevier Ireland Ltd. All rights reserved.
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